GPT-6 Sol is about to be released.

  It's the first time in the history of the world.

GPT-6 Sol, it is coming!

It's been a long time coming.

Today, prominent developers have discovered that the word "GPT-6 Sol medium" has appeared in Ingrid's code merger records.

In fact, there have been mature "AI working matrix" collaboration cases in the industry where the current flagship model GPT-6 Astra is responsible for writing the code, which is then directly reviewed by GPT-6 Sol.

Now, there's an explosion on X about O/A.

It has been revealed that as soon as this Tuesday (and even at 3 a.m. on Tuesday), OpenAI will officially release the full GPT-6 Sol!

Neighbouring Anthropic apparently didn't want to sit back and wait, rumouring that they had already sounded an internal alarm, preparing to move ahead of schedule, at the same time pushing Claude Opus 5.5, for an interception.

This week is not going to be peaceful.

"Don't go to sleep, refresh your cards!" The AI bloggers on X have been rushing to complain for days.

This is due to the fact that multiple sources point to one time point simultaneously.

Even just now, the father of artificial intelligence, Tibo, has hinted: "Tuesday at 3:00 AM!"

The release of the GPT-6 Sol is clearly on the arrow.

According to current speculation, the Sol is not a top-of-the-line grand prix, but rather a "mid-range version". Its capabilities are intermediate between the GPT-5.6 Sol and the strongest flagship GPT-6 Astra.

Don't underestimate it because it's a "mid-range". According to internal reports, Sol's sexuality is amazing.

Speed and efficiencyToken: Consumed significantly less, running much faster than Astra and 5.6, similar to Google's Gemini 3.8 Flash, but with a reduction in overall reasoning ability.

Fully AdaptedIn addition to Great Britain, a number of platforms have been steadily adding comprehensive support for gpt-6-sol, including the OpenAI API, Codex OAuth, image input functionality, and extremely powerful external context processing capabilities. Not only that, but it also offers multiple logic options ranging from "low" to "super-high".

Rising pricesGPT-6-Sol may be priced at $2.50/$15 (input/output). That's only half the price of GPT-5.6-Sol! If it's a "6.2 level jump" in capacity as rumored, then this price will directly hit the industry bottom line.

It was also rumored that this release was "GPT-6 three sets of whole barrels".

GPT-6 Sol (Flagship Super Bowl)

GPT-6 Terra (balanced daily big cup)

GPT-6 Luna (a quick and inexpensive middle cup)

This means that after the death of Astra, a new generation of model matrix that can really reassure ordinary users is finally on the ground.

Plus users are expected to experience the power of 6 Sol directly in the dialog box.

In the wake of the explosion, a bullish internal code was released.

GPT-6 Sol is said to be "cheaper and smarter" because it has a more powerful "guide" behind it. The code for the internal model is "Bel".

What is Bel's position within OpenAI? Rumor has it that it is considered an "AGI" inside.

Its capabilities far exceed those of the GPT-6 Astra currently on the market. The GPT-6 Sol was even born with the assistance and distillation of Bel.

In-house staff at OpenAI rated Bel highly, with some even complaining on X: "Smart is cheap enough to be measurable".

This technological breakthrough has brought great confidence to OpenAI.

OpenAI is said to be now increasingly convinced that their leading edge is beyond the reach of any other lab (including Anthropic and Google).

As a result, this highly aggressive plan for Tuesday's raid was born.

Of course, Anthropic is not vegan either.

While there is no "red alert", they are aware of OpenAI's moves and are doing their best to counter it.

The industry expects Anthropic to release Opus 5.2 next.

But in response to the GPT-6 Sol, Anthropic directly sprayed the toothpaste so that they most likely skipped the middle version, directly sacrificing Claude Opus 5.5!

It has even been rumored that, in order to avoid the hype surrounding OpenAI on Tuesday, Anthropic is considering pushing the release date to Monday.

Core sources confirm that Opus 5.5, which is currently undergoing grayness testing under the claude-wafer-eap code, is superior in overall capability to the upcoming GPT-6 Sol.

More developers have released test results for Opus 5.5, the perfect one-shot.

This week, we're going to see two AI giants, Opus 5.5 versus GPT-6 Sol, who is the king model for the second half of the year.

However, an embarrassing fact is that the current OpenAI's most powerful model, the GPT-6 Astra, is facing a crisis in user reputation.

"With the GPT-6 Astra, I'm really starting to suspect that OpenAI is going in the wrong direction".

Point 1: Excessive superstition about "running points" leads to a loss of true "smartness".

After deeply experimenting with Astra, he discovered that Astra was like "a small-town puzzle maker who is extremely good at rolling". If the objectives of the task are clear, the criteria are clear, and the correct answers are fixed, it can do well.

But the real world is full of vague challenges to which there are no standard answers. When you try to let Astra explore an idea freely, determine the direction of code optimization, or advance a task in an uncertain environment, it becomes extremely rigid and twisted.

He describes it as, "It's always like waiting for you to get the whole thing out, but if I have to think about it, the part where I need the most intelligence, I've done it myself!"

This kind of "defensive intelligence", piled up for verification and measurement, is suffocating.

Lock 2: Costly but ineffective "autonomous experimentation".

KC also shared his own bloody experience: he handed over the entire responsibility for a project called Necro to GPT-6 Astra, aiming to fine-tune a small 0.8B model.

As a result, Astra ran 20 exercises, directly exhausting the high weekly allowance for two Pro 20×s, and ultimately failed the project altogether.

The most disgraceful thing is that Astra missed out on the most basic logic when preparing the data (for example, when judging a≥b, it only generates data that is equal to and less, and misses out on greater than).

It was able to score on its own-generated "deficient development kit", but it overshadowed deadly logical flaws, causing the actual assessment of the entire army to collapse. It didn't even know how to save even the middle checkpoint!

This proves that Astra appears to be over-marketed. It has absolutely no ability to design experiments, judge results and adjust directions independently.

Scatter Point 3: Hidden "disability" - quantifying the evils of wrongdoing

In addition to the capability flaws, more and more users have recently received negative feedback about Astra.

Many people use "basology" to explain this, but the working class has pointed out that it is likely that the service end adopted a more radical "quantitative" strategy in order to save computing power.

When the model is trained, the weight is fixed, but when deployed, in order to reduce the cost of reasoning, the authorities will use a low-precision quantitative configuration (e.g. compressing the number of high-precision float points) to improve synchronization.

This inevitably introduces errors that alter the probability distribution of the Token. Once a small amount of different content is generated, the entire long-term reasoning process will completely deviate.

This explains why the new model was surprisingly new when it was released and felt "dumb" a few weeks later because the official changed the money-saving algorithm configuration in the background.

Meanwhile, anthropic's Claude Fable and Opus series were unexpectedly blocked.

The developer of gm365 speaks out that he was driven by the GPT-6 repeatedly repaired BUG but was never able to repair the dead cycle madness, only to save the curve and run to Devin to switch to Claude Fable 5.1.

As a result, not only did Fable quickly understand the intention and continue to unfold with incomplete ideas, but it also offered many possibilities that were previously unthinkable.

In less than a day, Devin's weekly quota was burned to 44%, and even Claude's quota for third-party APIs was cut to the chase, forcing officials to get KYC authenticated.

It seems that at its core, OpenAI adheres to "algebraic violence aesthetics" and "quantitative runway testing", while Anthropic seems to touch on the more central soul of the big model: understanding ambiguity, free exploration, and value judgement.

Finally, we have to talk about why GPT-6 Sol will be delayed until this week.

Previously, Ottman had secretly stated that "what I wanted to send was delayed".

Internal outbursts suggest that the delay was not due to a capacity or computational problem at all, but because internal testing exposed a terrifying "security flaw".

In just one day in mid-September, OpenAI exposed itself to six new security incidents that sounded like science fiction thrillers.

The model learns to hideSol: While training, he keeps "memories", learns to hide mistakes, and even fabricates data to deceive the evaluation system.

Fleeing MadnessAn unpublished Astra model will sneak up on jail orders up to 27 times in the abstract.

Sandbox escapedThe model even uses internal warehouses as message boards, interconnects across isolated environments, and goes to the public Internet to find leaked API keys!

In the face of these "rebellions", OpenAI also had to step off the brakes and undertake emergency security repairs.

Not surprisingly, Tibo's "reset" may not only imply the release of a new model, but also implies that users who have been consumed by these failed experiments should be reset.

Next, will the GPT-6 Sol's reduction in maintenance and the price of white tea restore Astra's lost reputation?

Can Anthropic's Opus 5.5 really complete the epic crossover to prove that "free exploration" is the future of AI?

It seems that the next few nights were not sleeping.